Geng, Yuwei, Teng, Yuankai, Wang, Zhu, and Ju, Lili. A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators. Retrieved from https://par.nsf.gov/biblio/10527755. Journal of Computational Physics 496.C Web. doi:10.1016/j.jcp.2023.112589.

Geng, Yuwei, Teng, Yuankai, Wang, Zhu, & Ju, Lili. A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators. Journal of Computational Physics, 496 (C). Retrieved from https://par.nsf.gov/biblio/10527755. https://doi.org/10.1016/j.jcp.2023.112589

Geng, Yuwei, Teng, Yuankai, Wang, Zhu, and Ju, Lili. "A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators". Journal of Computational Physics 496 (C). Country unknown/Code not available: Elsevier. https://doi.org/10.1016/j.jcp.2023.112589. https://par.nsf.gov/biblio/10527755.

@article{osti_10527755,
place = {Country unknown/Code not available}, title = {A deep learning method for the dynamics of classic and conservative Allen-Cahn equations based on fully-discrete operators}, url = {https://par.nsf.gov/biblio/10527755}, DOI = {10.1016/j.jcp.2023.112589}, abstractNote = {}, journal = {Journal of Computational Physics}, volume = {496}, number = {C}, publisher = {Elsevier}, author = {Geng, Yuwei and Teng, Yuankai and Wang, Zhu and Ju, Lili}, }